Papers
LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents
Taro Yano, Yoichi Ishibashi, Masafumi Oyamada
Finetuning LLMs for Human Behavior Prediction in Social Science Experiments
Akaash Kolluri, Shengguang Wu, Joon Sung Park et al.
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs
Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika et al.
Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores
Ashwin Ramaswamy, Nestor Demeure, Ermal Rrapaj
VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM
Lesheng Jin, Zhenyuan Ruan, Haohui Mai et al.
Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs
Yao Fu, Xianxuan Long, Runchao Li et al.
Leveraging Knowledge Graph-Enhanced LLMs for Context-Aware Medical Consultation
Su-Hyeong Park, Ho-Beom Kim, Seong-Jin Park et al.
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
Maya Kruse, Majid Afshar, Saksham Khatwani et al.
Estimating LLM Consistency: A User Baseline vs Surrogate Metrics
Xiaoyuan Wu, Weiran Lin, Omer Akgul et al.
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
Varun Dhanraj, Chris Eliasmith
Can LLMs Extract Frame-Semantic Arguments?
Jacob Devasier, Rishabh Mediratta, Chengkai Li
All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
Siddarth Mamidanna, Daking Rai, Ziyu Yao et al.
AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents
Fengze Liu, Haoyu Wang, Joonhyuk Cho et al.
Demystifying Domain-adaptive Post-training for Financial LLMs
Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen et al.
HICode: Hierarchical Inductive Coding with LLMs
Mian Zhong, Pristina Wang, Anjalie Field
A Multilingual, Culture-First Approach to Addressing Misgendering in LLM Applications
Sunayana Sitaram, Adrian de Wynter, Isobel McCrum et al.
Explicit Learning and the LLM in Machine Translation
Malik Marmonier, Rachel Bawden, Benoît Sagot
Are Stereotypes Leading LLMs’ Zero-Shot Stance Detection ?
Anthony Dubreuil, Antoine Gourru, Christine Largeron et al.
HookMoE: A learnable performance compensation strategy of Mixture-of-Experts for LLM inference acceleration
Cheng Longkai, Along He, Mulin Li et al.
Measuring scalar constructs in social science with LLMs
Hauke Licht, Rupak Sarkar, Patrick Y. Wu et al.
Reasoning under Uncertainty: Efficient LLM Inference via Unsupervised Confidence Dilution and Convergent Adaptive Sampling
Zhenning Shi, Yijia Zhu, Yi Xie et al.
Africa Health Check: Probing Cultural Bias in Medical LLMs
Charles Nimo, Shuheng Liu, Irfan Essa et al.
REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing
Aly M. Kassem, Zhuan Shi, Negar Rostamzadeh et al.
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
Grgur Kovač, Jérémy Perez, Rémy Portelas et al.